Kaleo invites you to slow down — to move with purpose, to remember what life feels like when it breathes with meaning.
The land
Kaleo begins with the land — the rolling fields, still mornings, and the quiet rhythms of nature. This is a place where sheep graze under golden light, where time slows, and the earth reminds us what it means to be rooted.
The Author
Anand Mahurkar (pronounced Aa-nund mah-HOOR-kur) is the founder and CEO of Findability Sciences, a Boston-based enterprise AI company that has delivered more than 250 implementations worldwide.
He created the I-CUPP framework, and Fortune has twice named Findability Sciences to its America's Most Innovative Companies list. A mechanical engineer with an MBA, Mahurkar learned to code on a factory floor in India, beginning a journey spanning more than three decades in technology and business. He lives in Massachusetts.
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Advance Reviews
Discover what industry experts are saying about AI Factory after reading the manuscript.
“Developing AI applications has been far too artisanal for most organizations. Mahurkar’s book describes how organizations can build AI with speed, scale, and reliability. If you want results from AI, start building your AI factory today.”
Thomas H. Davenport
Fellow, MIT Initiative on the Digital Economy and Stanford Institute for Human-Centered AI
“This is a ‘must read’ for every C-suite executive. Anand Mahurkar draws on his years of first-hand experience and the incredible success of the company he built, Findability Sciences, to explain what the impact of artificial intelligence can be on the organization. Drawing on his first-hand insights, Anand explains why very few companies have been able to fully harness its capabilities and provides a clear roadmap to enable senior leaders to manage the transformation that is underway across every industry and every company. You’ll come away with a clear understanding of what you need to do to successfully adopt AI to power your organization to higher levels of achievement.”
Leland C. Pillsbury
Co-Founder and Partner, Thayer Investment Partners
“Anand Mahurkar offers business leaders a clear exit from the trap of endless experimentation and fragmented AI pilots. Through a structured framework that connects strategic intent with daily execution, this book details how to build organizations that learn, adapt, and grow stronger with every challenge. Executives will find an actionable, reliable guide for converting AI investments into permanent organizational capacity, allowing enterprises to turn technological capability into growth and sustained market leadership.”
Alex Jadad, MD, DPhil
Co-author, Healthy No Matter What
“Drawing on decades of practical experience across more than 250 AI implementations spanning multiple industries, Anand presents a compelling framework for effectively deploying AI in business. This book is a must-read for all business executives, as it also provides a unique roadmap to scalable AI success, tailored to each organization by carefully assessing its current context.”
M.S. Krishnan
Ross School of Business, University of Michigan
“AI Factory offers a practical framework for moving AI from experimentation to real enterprise impact. It cuts through the hype and shows how AI can become a production capability. The I-CUPP framework brings clarity, structure, and depth to a complex subject. A timely and valuable book for leaders and practitioners alike.”
C.E. Potnis
Bring the AI Factory to your stage
Invite Anand Mahurkar to speak at your conference, leadership offsite, or board session.
Most enterprise AI talks are about what is possible. Anand talks about what actually works. As Founder and CEO of Findability Sciences, he has spent more than 30 years in technology and led over 250 enterprise AI implementations across manufacturing, agribusiness, dairy, financial services, retail and government.
His sessions take audiences from the factory floor to the boardroom, using real deployment stories from AI Factory: The Executive’s Blueprint for Turning Data Into Intelligence. Leaders walk away with a practical way to turn data into intelligence at scale.
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Most companies today are not short of AI. They are short of results. AI is already being used across much of the enterprise, yet relatively few companies have been able to move beyond pilots and put it to work at scale. Too many promising experiments never become part of how the business operates or makes decisions. AI Factory explains why and offers a practical way forward.
Drawing on hundreds of enterprise AI implementations at Findability Sciences, Anand Mahurkar argues that the biggest challenge is rarely the AI model itself. What is usually missing is the system around it: a foundation that can continuously turn data into intelligence that people can use to make better decisions. He calls this system the AI Factory, an approach highlighted by Thomas Davenport and Randy Bean in MIT Sloan Management Review as a compelling model for enterprise AI.
At the heart of the book is I-CUPP, a five-layer framework: Infrastructure, Collection, Unification, Processing, and Presentation. Mahurkar explains why AI initiatives often struggle when companies begin with models and use cases before building the underlying foundation. He introduces the idea of Wide Data—using a greater variety of relevant data rather than simply more data—and shows how predictive, interpretive, and generative AI can work together on a common foundation.
The book then moves from technology to execution: how to build the road map, establish governance, prepare the organization, lead the change, and assess whether an enterprise is truly ready for AI.
AI Factory is a practical handbook for leaders who want to move beyond AI experiments and make intelligence a repeatable part of how their business runs.